A COMPARISON OF RANDOM FOREST AND DOUBLE RANDOM FOREST: DROPOUT RATES OF MADRASAH STUDENTS IN INDONESIA

Random forest algorithm allows for building better CART models. However, the disadvantage of this method is often underfitting, especially for small node sizes. Therefore, the double random forest method was developed to overcome this problem. The research was conducted by utilising Education Manage...

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Bibliografische Detailangaben

Hauptverfasser:	Arie Purwanto, Bagus Sartono, Khairil Anwar Notodiputro
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Universitas Pattimura 2025-01-01
Schriftenreihe:	Barekeng
Schlagworte:	random forest double random forest
Online-Zugang:	https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/13346
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